This model is a fine-tuned version of csebuetnlp/mT5_multilingual_XLSum on the wiki_lingua dataset.
It achieves the following results on the evaluation set:
Loss: 3.5540
Rouge-1: 27.46
Rouge-2: 9.0
Rouge-l: 22.59
Gen Len: 43.41
Bertscore: 73.7
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 0.0005
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
